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All Journal ARABIYAT Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Informatika dan Teknik Elektro Terapan Jurnal Studi Agama dan Masyarakat Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Madaniyah: Terciptanya Insan Akademis Berkualitas Dan Berakhlak Mulia JIKO (Jurnal Informatika dan Komputer) qolamuna : Jurnal studi islam Jurnal SOLMA BAREKENG: Jurnal Ilmu Matematika dan Terapan JURNAL ILMIAH INFORMATIKA Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) QARDHUL HASAN: MEDIA PENGABDIAN KEPADA MASYARAKAT Jambura Journal of Food Technology Jurnal Tekno Kompak Jurnal Edukasi (Ekonomi, Pendidikan dan Akuntansi) JURSIMA (Jurnal Sistem Informasi dan Manajemen) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Biogenerasi JISA (Jurnal Informatika dan Sains) BERNAS: Jurnal Pengabdian Kepada Masyarakat Al-Fusha : Arabic Language Education Journal Jurnal Pendidikan dan Teknologi Indonesia Mosharafa: Jurnal Pendidikan Matematika Tanwir Arabiyyah: Arabic as Foreign Language Journal Jurnal Dinamika Informatika (JDI) Jurnal EBONI Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Journal of Artificial Intelligence and Engineering Applications (JAIEA) PENA ABDIMAS : Jurnal Pengabdian Masyarakat Makara Journal of Technology Jurnal Sistem Informasi dan Teknologi (SINTEK) Indonesian Journal of Fundamental Sciences Journal of Tourism Education Prosiding Seminar Nasional Manajemen dan Ekonomi JURSIMA Iqtida: Journal of Da'wah and Communication Huma: Jurnal Sosiologi Jurnal Biologi Babasal Al-Zayn: Jurnal Ilmu Sosial & Hukum Jurnal Sistem Informasi dan Manajemen Maddana: Jurnal Pengabdian Kepada Masyarakat Sirajuddin : Jurnal Penelitian dan Kajian Pendidikan Islam Prosiding Seminar Nasional Unimus Jurnal Kemitraan Masyarakat Informasi interaktif : jurnal informatika dan teknologi informasi Jurnal Riset Multidisiplin Edukasi Regulate: Jurnal Ilmu Pendidikan, Hukum dan Bisnis Jurnal Cendekia Ilmiah PESHUM Jurnal Geosaintek Sintek Kuwera Sirajuddin: Jurnal Penelitian dan Kajian Pendidikan Islam Bianglala Informatika
Ahmad Faqih
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Naïve Bayes Optimization by Implementing Genetic Algorithm in Sentiment Analysis of BCA Mobile Reviews Rizqy, Muhammad Enricco; Faqih, Ahmad; Dwilestari, Gifthera
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.750

Abstract

The development of the digital era has encouraged the adoption of mobile banking applications that facilitate banking transactions, including the BCA Mobile application which is simple but still adheres to a slightly outdated, user-friendly appearance but to provide the best service, it is necessary to evaluate the various problems that arise through review analysis. This study aims to conduct sentiment analysis of BCA Mobile application reviews taken from the Google Play Store, with data totaling 1,200 reviews scraping results using Google Collaboratory python programming language, to categorize negative and positive reviews used manual labeling for more accurate results, the Naïve Bayes approach is used in classifying positive and negative category reviews due to the ability of this algorithm to handle text data. However, the weakness of Naïve Bayes which is sensitive to irrelevant features can cause a decrease in accuracy. This research implements Genetic algorithm to improve the performance of Naïve Bayes. The results showed that the application of Genetic algorithm successfully increased the accuracy, precision of Naïve Bayes classification 95%, precision 92% to accuracy 98%, precision 99%, which proved the effectiveness of Genetic algorithm in optimizing the model and improving the quality of sentiment analysis.
Optimization of the K-Nearest Neighbors (KNN) Algorithm in Imbalanced Dataset Classification Using the SMOTE Technique Abi Fajar Ahmad Fauzi; Ahmad Faqih; Kaslani
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.756

Abstract

The naturalization of players for Indonesia's national football team has sparked diverse reactions on Twitter, ranging from support to opposition. This situation poses challenges for sentiment analysis, particularly in interpreting public opinion on the policy. A significant challenge arises from the imbalance in sentiment classes, with neutral sentiments outweighing positive and negative ones. This research investigates the effect of class imbalance on sentiment analysis accuracy by employing the KNN algorithm enhanced with the SMOTE technique. A quantitative approach is used, adopting an experimental method aligned with the KDD process stages. The findings reveal that the KNN algorithm without SMOTE achieved an accuracy of 54.77%, with a Precision of 0.65, Recall of 0.57, and F1-Score of 0.44. However, integrating SMOTE with the KNN algorithm significantly improved the outcomes, boosting accuracy to 81.49%, with a Precision of 0.87, Recall of 0.80, and F1-Score of 0.80. These results demonstrate that oversampling techniques like SMOTE are highly effective in mitigating class imbalance and enhancing classification performance, especially for underrepresented classes. This study underscores the efficacy of SMOTE as a solution for addressing class imbalance in sentiment analysis tasks.
Sales Data Classterization Analysis Using K-Means Method for Marketing Strategy Development Mifta Almaripat; Ahmad Faqih; Ade Rizki Rinaldy
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.792

Abstract

In the digital era, utilizing sales data is very important to support strategic decision making. This research aims to overcome the problems faced by 9Doors Store in optimizing marketing strategies and stock management. The main problem faced is the lack of in-depth analysis of existing sales data, which results in difficulties in formulating appropriate marketing strategies and efficient stock management. For this reason, this research applies the K-Means Clustering method to group products based on customer purchasing behavior characteristics. The data used includes product categories, selling prices, initial stock, number of products sold, and total sales obtained from 9Doors Store during the period March to September 2024. The method used in this research is Data Mining approach with K-Means algorithm, which is implemented using RapidMiner software. The data analysis process goes through Knowledge Discovery in Databases (KDD) stages, including data collection, data cleaning (preprocessing), data transformation, and data mining using K-Means. Cluster evaluation is done using Davies-Bouldin Index (DBI) to assess the quality of clustering results. The results of this study show that the division of sales data into three clusters provides optimal results with the lowest DBI value (0.106), which indicates efficient clustering. This finding identifies products with high, medium, and low sales levels, which can be used to formulate more targeted marketing strategies. With these results, Toko 9Doors can improve stock management and design more effective promotions based on better customer segmentation.
Implementation of the Naive Bayes Method in Sentiment Analysis of Spotify Application Reviews Agung Triyono; Ahmad Faqih; Fathurrohman
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.824

Abstract

This study focuses on sentiment analysis of Spotify application reviews on Google Play Store using the Naive Bayes algorithm. As a leading music streaming platform, Spotify receives diverse user feedback that reflects their experiences, complaints, and satisfaction. Sentiment analysis aids in understanding user opinions, enhancing services, and innovating features. The research involves collecting user reviews via web scraping, followed by preprocessing steps such as text cleaning, tokenization, normalization, stopword removal, and stemming. The Term Frequency-Inverse Document Frequency (TF-IDF) method is employed to assign weights to words, highlighting their significance in reviews. The Naive Bayes algorithm categorizes sentiments into positive, negative, and neutral classes. Performance evaluation uses a confusion matrix to measure accuracy, precision, recall, and F1-score. Results indicate that Naive Bayes effectively classifies large volumes of unstructured data with high accuracy and efficiency. This study contributes practically by offering actionable insights to improve Spotify's services and theoretically by advancing sentiment analysis methodologies using machine learning. The findings highlight the algorithm's potential to understand user needs and address issues, reinforcing its value in text analytics for mobile applications.
ASPEK MORALITAS PEMBELAJARAN SISWA SISWI MADRASAH ALIYAH MIFTAHUL ULUM LUMAJANG Mohammad Sholehuddin; Ahlam Musaydah; Ahmad Faqih
SIRAJUDDIN : Jurnal Penelitian dan Kajian Pendidikan Islam Vol 2 No 1 (2022): Sirajuddin Desember 2022
Publisher : P3M STAI MIFTAHUL ULUM LUMAJANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55120/sirajuddin.v2i1.944

Abstract

Pendidikan merupakan hal penting dalam kehidupan di dunia, di tengahterpuruknya peradaban bangsa ini, gencarnya informasi, dan lepasnya sekat antarbangsa lewat teknologi informasi, peran guru kian strategis untuk mengambil salahsatu peran yang menopang pada tegaknya peradaban manusia Indonesia di waktuyang akan datang, Di Madrasah Aliyah Miftahul Ulum Lumajang adalah salah satumadrasah yang selalu mengambil langkah-langkah inovatif dalam mengembangkankualitas lembaga, hal ini dibuktikan dengan segudang prestasi yang diraih oleh parasiswa dan siswi dalam perlombaan dan prestasi yang diraih oleh lembaga.penelitian ini memakai metode penelitian deskriptif kualitatif karena dalampenelitian ini akan menggambarkan dan menginterpretasi objek penelitian sesuaidengan apa adanya. Penelitian ini akan mengunakan pendekatan kualitatif.Pendekatan kualitatif ini dipilih karena objek penelitian ini berupa proses ataupembentukan moral siswa. Data yang diperoleh dikumpulkan melalui wawancaradan pengamatan langsung dilapangan. Dalam strategi penerapan metode inkulkasinilai moral terhadap siswa-siswi Madrasah Aliyah Miftahul Ulum Lumajang,ditemukan ada beberapa cara, antara lain: melalui program pembiasaan, kegiatanintrakurikuler, kegiatan ekstrakurikuler, dan melalui keteladanan dari seorang gurukepada siswa-siswinya. Terkait dengan pelaksanaan 4 cara yang dilakukanmadrasah dalam penanaman nilai moral terhadap siswa sudah baik, akan tetapipada penerepan metode inkulkasi di dalam kelas, akan efektif bila diberlakukanbeberapa metode yang saling keterkaitan, lalu juga ditemukan fasilitas programekstrakurikuler masih ada yang kurang, jadi perlu dianggarkan dana untukmelengkapi fasilitas ekstrakurikuler yang masih kurang dan pemberian keteladananseorang guru dinilai masih perlu ditingkatkan lagi. Tentunya ini menjadi temuanbagi peneliti sebagai evaluasi madrasah untuk kedepannya
Edukasi Gizi Masyarakat Dan Cek Kesehatan Gratis Di Desa Jayalaksana Haqiyah, Aridhotul; Faqih, Ahmad
MADDANA Jurnal Pengabdian Kepada Masyarakat Vol 4 No 2 (2024): MADDANA: Jurnal Pengabdian Kepada Masyarakat
Publisher : Fakultas Keguruan dan Ilmu Pendidikan Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Random examination of uric acid levels in the people of Jayalaksana Village, Branchbungin District, Bekasi Regency, West Java aims to educate the public about Nutrition Education as an early detection of emerging diseases. The more people who know about uric acid levels, it is hoped that it can change the behavior of people's food intake and nutrition. So that disease prevention can be reduced, especially in people who have high risk factors. The educational method is carried out by counseling on nutrition and health checks on February 25, 2023 with community subjects, both men and women. The medical examination carried out is to measure the level of blood sugar levels. Based on the activities carried out, the results obtained were 25 respondents. A total of 15 were female and 10 were male. Found in residents who are female as much as 60% and male as much as 55% on blood sugar levels. So it can be concluded that through nutrition counseling and examination of uric acid levels the community can find out the blood sugar level which is used as a reference to regulate healthy and nutritious food intake patterns to reduce the risk of disease
Modal Sosial Masyarakat Terhadap Jasa Ekosistem Ikan Cumi di Teluk Tomini: Studi Festival Sejuta Cumi Ardiyanto Saleh Modjo; Ahmad Faqih; Fuad Pontoiyo; Muh. Arfah Syam; La Alio; Dewi Wahyuni K. Baderan; Ramli Utina; Hasim Hasim
J-CEKI : Jurnal Cendekia Ilmiah Vol. 4 No. 2: Februari 2025
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v4i2.7391

Abstract

Festival Sejuta Cumi di Desa Langgula, Kecamatan Batudaa Pantai, merupakan manifestasi modal sosial dalam mendukung pelestarian jasa ekosistem ikan cumi di Teluk Tomini. Penelitian ini bertujuan untuk mengeksplorasi peran nilai gotong royong, norma adat, dan etika tradisional dalam memperkuat keberlanjutan ekosistem dan hubungan sosial. Metode deskriptif kualitatif dengan pendekatan studi kasus digunakan, melibatkan observasi, wawancara, dan analisis dokumen. Hasil penelitian menunjukkan bahwa modal sosial masyarakat, yang terdiri dari partisipasi kolektif, kepatuhan terhadap tradisi, dan penghormatan budaya lokal, berkontribusi signifikan dalam menjaga ekosistem laut. Sebanyak 82% responden menyatakan festival ini meningkatkan kesadaran ekologis mereka, sementara 76% menyatakan hubungan sosial menjadi lebih erat, dan 65% merasakan dampak positif pada ekonomi lokal. Temuan ini menunjukkan bahwa Festival Sejuta Cumi tidak hanya menjadi alat budaya, tetapi juga media edukasi lingkungan yang efektif. Penelitian ini menyoroti pentingnya sinergi antara tradisi lokal dan kebijakan modern untuk mencapai pelestarian ekosistem yang berkelanjutan.
Algoritma K-Means Untuk Klasterisasi Kampung Di Desa Bojong Berdasarkan Tingkat Pendidikan Yuliantin, Yovi; Faqih, Ahmad; -, Kaslani
Bianglala Informatika Vol 13, No 1 (2025): Bianglala Informatika 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/bi.v13i1.24621

Abstract

- Desa Bojong menghadapi tantangan dalam memetakan tingkat pendidikan penduduknya secara terstruktur. Meskipun data tersedia, kurangnya pengorganisasian menyebabkan kesenjangan akses pendidikan, terutama di wilayah-wilayah tertentu. Penelitian ini bertujuan untuk mengelompokkan tingkat pendidikan warga Desa Bojong menggunakan algoritma K-Means, sehingga dapat memberikan wawasan yang lebih mendalam tentang kondisi pendidikan masyarakat. Data yang digunakan mencakup 6.237 penduduk dari 10 kampung, dengan atribut seperti usia, pendidikan terakhir, pekerjaan, dan status pernikahan. Proses analisis mengikuti tahapan Knowledge Discovery in Database (KDD) dan dilakukan menggunakan perangkat lunak RapidMiner. Hasil penelitian menunjukkan bahwa jumlah klaster yang ideal adalah 7, dengan nilai terbaik 0,467 untuk Davies-Bouldin Index (DBI). Setiap klaster menunjukkan tingkat pendidikan tertentu. Cluster 6 memiliki tingkat pendidikan yang sangat tinggi, dengan banyak penduduk yang sampai perguruan tinggi. Sementara itu, Cluster 0 terdiri dari orang-orang yang hanya tamat SD atau bahkan tidak sekolah. Studi ini menunjukkan distribusi pendidikan di Desa Bojong. Hasil ini dapat membantu pemerintah desa membuat program pendidikan yang lebih baik. Kampung dengan tingkat pendidikan rendah dapat berkonsentrasi pada program yang meningkatkan akses pendidikan dasar, seperti literasi dan subsidi pendidikan, sedangkan kampung dengan tingkat pendidikan tinggi dapat berkonsentrasi pada pengembangan program pendidikan lanjutan atau pelatihan vokasional. Metode ini diharapkan dapat membantu Desa Bojong mengatasi kesenjangan pendidikan dan meningkatkan kualitas hidup warganya dengan menyediakan program yang tepat sasaran. Selain itu, penelitian ini membantu implementasi algoritma K-Means dalam pengelompokan data pendidikan di daerah pedesaan.
PENERAPAN METODE DECISION TREE DALAM PENENTUAN JURUSAN SISWA Nurul Aini, Yuli; Faqih, Ahmad; Dwilestari, Gifthera
JURNAL ILMIAH INFORMATIKA Vol 13 No 01 (2025): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v13i01.9485

Abstract

Choosing a major for vocational students is an important step in determining their future career. Inappropriate decisions in choosing a major can have a negative impact on the learning process and career prospects of students. This research aims to apply the Decision Tree C4.5 algorithm in determining student majors based on historical data from SMK Plus Qurrota A'yun. The main attributes used in this model include gender, practical score, report card score, and rank. The data analysis process is carried out using KDD (Knowledge Discovery in Databases) stages which include preprocessing (normalization and labeling), data transformation with SMOTE to balance the data, and dataset division (80% for training and 20% for testing). The results of the C4.5 Decision Tree model show an accuracy rate of 86.59%, with report card and practical grades as the most significant attributes in determining student majors. Evaluation of the model showed variation in performance between majors, with high precision in TSM (92.22%) and weak recall in TKJ (73.91%). Overall, the algorithm proved to be effective for providing major recommendations based on historical data, although optimization is needed for majors with lower precision and recall values.
Edukasi pengolahan limbah minyak goreng menjadi produk bernilai ekonomi Adji, Riyanto; Enjelita, Ratu; Wanda, Aliffa; Faqih, Ahmad; Andriawan, Dimas; Ramadhani, Aziz; Himawan, Toni
Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Vol 8 No 2 (2025)
Publisher : University of Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jipemas.v8i2.22580

Abstract

Minyak goreng merupakan salah satu dari sembilan bahan pokok yang digunakan masyarakat Indonesia dalam kehidupan sehari-hari. Seiring dengan meningkatnya populasi di wilayah perkotaan, konsumsi minyak goreng juga mengalami peningkatan, yang berakibat pada tingginya produksi limbah minyak jelantah. Jika tidak dikelola dengan baik, limbah ini dapat mencemari lingkungan dan berdampak negatif pada kesehatan manusia. Salah satu wilayah dengan konsumsi minyak goreng yang cukup tinggi adalah Perumahan Bumi Cikarang Asri, Ciantra, Kecamatan Cikarang Selatan, Bekasi, yang memiliki kepadatan penduduk tinggi karena berdekatan dengan kawasan industri Jababeka. Penelitian ini bertujuan untuk memberikan edukasi kepada masyarakat mengenai pemanfaatan limbah minyak jelantah agar memiliki nilai ekonomi, dengan fokus pada produksi lilin aromaterapi. Metode yang digunakan adalah Asset-Based Community Development (ABCD) dan Participatory Action Research (PAR), yang menekankan pada pemberdayaan masyarakat melalui identifikasi potensi lokal dan partisipasi aktif komunitas. Kegiatan ini melibatkan sosialisasi, pelatihan pembuatan lilin aromaterapi, serta pendampingan dalam proses produksi dan pemasaran. Hasil dari kegiatan ini menunjukkan bahwa komunitas ibu-ibu di Perumahan Bumi Cikarang Asri berhasil mengembangkan keterampilan dalam mengolah minyak jelantah menjadi lilin aromaterapi yang berkualitas baik. Jika didukung dengan pendampingan dan strategi pemasaran yang tepat, usaha ini berpotensi berkembang menjadi bisnis berbasis komunitas. Dengan demikian, pemanfaatan limbah minyak goreng tidak hanya mengurangi pencemaran lingkungan tetapi juga meningkatkan kesejahteraan ekonomi masyarakat.
Co-Authors -, Kaslani Abdullah Baharun abdur rohman Abi Fajar Ahmad Fauzi Achmad Supandi Ade Rizki Rinaldi Ade Rizki Rinaldy Adella, Luthfiyyah Iffah Adellia Putriani Adjie Setyadj, Mochammad Adnan Adnan Agung Triyono agus bahtiar Agus Riyadi Ahlam Musaydah Ahmad Jihadi Akhmad Abu Khasan Muzakki Akhmad Subhan Al Ghozali, Muhammad Iqbal Ali, Ashehad Aswen Amelia, Mita Andi Setiawan Andriawan, Dimas Annisa Rahmi Anshari, Rahman Ardiyanto Saleh Modjo Arif Rinaldi Dikananda Arnas Arnas, Arnas Arum Sari Arya Wijaya, Arya Athhar Hafizha Luthfi ayu hardani, anita Aziz Ramadhani Azzahra, Fitriyani Badruddin Bafadal, Mentarry Bambang Irawan Bambang Siswoyo Basysyar, Fadhil Muhammad Bisma Mahendra Chatarina Umbul Wahyuni Cika Cahya Kafita Purnama Dadang Sudrajat Denni Pratama Devika Rahayu Daud Dewi Wahyuni K. Baderan Diding Herudin Diding Herudin Diding Herudin, Diding Herudin Dienwati Nuris, Nisa Dikananda, Arif Rinaldi Dikananda, Fatihanursari Dini Andriyani Dita Rizki Amalia Dita, Mesya Sabhna Adma Djamadi, Dian Anggreini Edi Tohidi Eka Permana, Sandy Enjelita, Ratu Erieska Aprilyanti Ezra Pratama, Daffa Fadhil Muhammad Basysyar Fadilah, Euis Fajri, Ibnu Fajria, Azzahra Moudy Fathurrohman, Fathurrohman Febiyanto, Anggi Fidya Arie Pratama Fitria, Ananda Rizki Fuad Pontoiyo Gagarin, Muhamad Yuri Giannetti, Niccolo Gifthera Dwilestari Gilang Ramadhan Gita Antar Wulan Gumelar, Restu Habiballoh, Hafshoh Hafshoh Habiballoh Hamdan, Faiz Dzul Fahmi Hamzah, Hasyrul Haqiyah, Aridhotul Hasim Hasim Hasim Hasim Herdiyana, Ruli Hermawan, Bagus Hermawan, Muhammad Andi Hidayat, Manarul Hikmah Maulani Himawan, Toni Ilah Holilah Ilma’nun, M. Lulu Indra Wiguna Marthanu Irfan Ali, Irfan Jamiatur Rasyidah Jannah, Afni Nur Juliandro, Daniel K. Toiyo, Frandika Kadir, Rian Kaslani Khaerul Anam Khairul Akmal, Khairul Khairussalam Khoirul Huda, Muhammad Knohl, Alexander Komalasari, Cahyaningrum Kurnia, Dian Ade Kurniasih, Desta Dwi La Alio La Alio Laili Hidayatun Nikmah Laksono, Agung Lestari, Anjar Ayuning Lestari, Wien Lidina, Lidina Lila Zulfa Kamila M. Basysyar, Fadhil Ma'rufah, Ummu Mahendra, Yusril Muhamad Izha Mahludin H. Baruwadi Maman Abdurrahman Manarul Hidayat Martanto Maulana Sidiq, Cecep Maulana, Haris Mey Yulan Moko Mia Nurmala Mifta Almaripat Miftahul Huda Mohammad Sholehuddin Mohammad Syaefudulloh Muh. Arfah Syam Muharram Muharram Muhfidz Hidayat, Aziz Muhibuddin Mukdin, Novita B Mulyana, Dani Mulyawan Mulyawan Mulyawan, Mulyawan Nalahuddin Saleh Narasati, Riri Narasati Nasruddin Nasruddin Nida Naswa Ningsih, Indah Ratna Nor Faizatun Nikmah Norma Feti Farida Novi Mardiana Nur Atika Astriani Nur Farida, Farah Nur Halimah Nur Hikmatul Azizah Nuraini, Asyifa Nurhadiansyah Nurhakim, Bani Nurjana Adi Wijaya Nurul Aini, Yuli Odi Nurdiawan Oktavia, Riska Permadani Pertiwi, Pirda Parida Permana , Sandy Eka Permana, Sandy Eka Pratama, Denni Pratama, Fidya Arie Putra, Aris Pratama Rahayu, Helda Kusuma Rahma, Aliya Anisa Ramiro Firjatullah, Federicko Ramli Utina Raudya, Talitha Rayhan, Tubagus Muhammad Riri Narasati Risma Septiana Putri Risnayanti R Juramang Ristika Handarini Riyanto Adji Rizqy, Muhammad Enricco Rohmat, Cep Lukman Rosmeri Manurung, Agnes Rudi Kurniawan Rusmayana, Sigit Saeful Anwar, Saeful Saepu Qirom, Dani Saepudin, Asep Safitri, Ikraeni Sagita, Ayu Sandy Eka Permana Sandy Eka Permana, Faqih Satria Kamalil Hidayat Selly Novita Sari Septianto, Muhamad Arif Sigit Rusmayana Siti Ifroh Alwildah SM, Farid Solihudin, Dodi Subaegi, Angga Sugihartono, Tri Suharno, Achmad Sulaeman, Muhamad Supandi, Achmad Suryani Dewi, Ike Susana, Heliyanti Syaefudulloh, Mohammad Syam, Muh Arfah Syam, Muh. Arfah Syayid Al Manar Tania June Tati Suprapti Tengku Riza Zarzani N Tissa Aunilla Tomayahu, Tian Toriquddin Umar, Achmad Jauhari Wahyu Ningrum Sulistyowati Wanada, Gada Wanda, Aliffa Wijaya, Nurjana Adi Yonny Koesmaryono Yoshua, Deden Yudhistira Arie Wijaya Yuliantin, Yovi